Perform Cloud Data Science with Azure Machine Learning (20774)

Course Overview

The main purpose of the course is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning with big data tools such as HDInsight and R Services.

Who should attend

The primary audience for this course is people who wish to analyze and present data by using Azure Machine Learning.

The secondary audience is IT professionals, Developers , and information workers who need to support solutions based on Azure machine learning.

Prerequisites

In addition to their professional experience, students who attend this course should have:

Programming experience using R, and familiarity with common R packages

Knowledge of common statistical methods and data analysis best practices.

Basic knowledge of the Microsoft Windows operating system and its core functionality.

Working knowledge of relational databases.

Course Objectives

After completing this course, students will be able to:

Explain machine learning, and how algorithms and languages are used

Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio

Upload and explore various types of data to Azure Machine Learning

Explore and use techniques to prepare datasets ready for use with Azure Machine Learning

Explore and use feature engineering and selection techniques on datasets that are to be used with Azure Machine Learning

Explore and use regression algorithms and neural networks with Azure Machine Learning

Explore and use classification and clustering algorithms with Azure Machine Learning

Use R and Python with Azure Machine Learning, and choose when to use a particular language

Explore and use hyperparameters and multiple algorithms and models, and be able to score and evaluate models

Explore how to provide end-users with Azure Machine Learning services, and how to share data generated from Azure Machine Learning models

Explore and use the Cognitive Services APIs for text and image processing, to create a recommendation application, and describe the use of neural networks with Azure Machine Learning

Explore and use HDInsight with Azure Machine Learning

Explore and use R and R Server with Azure Machine Learning, and explain how to deploy and configure SQL Server to support R services

Course Content

Introduction to Machine Learning

Introduction to Azure Machine Learning

Managing Datasets

Preparing Data for use with Azure Machine Learning

Using Feature Engineering and Selection

Building Azure Machine Learning Models

Using Classification and Clustering with Azure machine learning models